29 citations · 67 across the 17 of their papers we have counts for
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cs.CL2018★ 4 cited
End-to-End Text Classification via Image-based Embedding using Character-level Networks
Shunsuke Kitada, Ryunosuke Kotani, Hitoshi Iyatomi
For analysing and/or understanding languages having no word boundaries based on morphological analysis such as Japanese, Chinese, and Thai, it is desirable to perform appropriate w…
cs.CV2018★ 12 cited
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning
Shunsuke Kitada, Hitoshi Iyatomi
In this report, we introduce the outline of our system in Task 3: Disease Classification of ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection. We fine-tuned multiple pre-t…